Relevant bibliographies by topics / Regressive dependence / Dissertations / Theses
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Dissertations / Theses on the topic 'Regressive dependence'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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1

Шовкопляс, Н. Р. "Програмні середовища для проведення парного лінійного регресійного аналізу". Thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/66833.

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У роботі наведені результати порівняльного аналізу використання табличного процесора MS Excel та програмного середовища NI LabVIEW для побудови формули лінійної регресійної залежності між двома змінними. Регресійний аналіз фактичних даних проведений у безрозмірній формі.
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2

Xie, Bo. "Requirement based regression test suite reduction using dependence analysis." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27200.

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In this research, we present an extension to an existing requirement-based regression test suite reduction approach that uses EFSM model dependence analysis to reduce a given regression test suite [19]. The approach is based on the difference between the original model and the modified model expressed as a set of elementary model modifications: elementary addition of a transition and elementary deletion of a transition. For each elementary modification, the data and control dependencies are used to capture potential interactions between EFSM transitions. The potential interactions are used to
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3

Sim, Nicholas. "Modeling Quantile Dependence." Thesis, Boston College, 2009. http://hdl.handle.net/2345/2467.

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Thesis advisor: Zhijie Xiao<br>In recent years, quantile regression has achieved increasing prominence as a quantitative method of choice in applied econometric research. The methodology focuses on how the quantile of the dependent variable is influenced by the regressors, thus providing the researcher with much information about variations in the relationship between the covariates. In this dissertation, I consider two quantile regression models where the information set may contain quantiles of the regressors. Such frameworks thus capture the dependence between quantiles - the quantile of th
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COLUMBU, SILVIA. "Parametric modeling of dependence of bivariate quantile regression residuals' signs." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266587.

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In this thesis, we propose a non-parametric method to study the dependence of the quantiles of a multivariate response conditional on a set of covariates. We define a statistic that measures the conditional probability of concordance of the signs of the residuals of the conditional quantiles of each univariate response. The probability of concordance is bounded from below by the value of largest possible negative dependence and from above by that of largest possible positive dependence. The value corresponding to the case of independence is contained in the interior of that interval. We
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5

Park, Ju-Hyun Dunson David B. "Bayesian density regression and predictor-dependent clustering." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1821.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Dec. 11, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biostatistics, School of Public Health." Discipline: Biostatistics; Department/School: Public Health.
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Lumley, Thomas. "Marginal regression modelling of weakly dependent data /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/9555.

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7

Chen, Ke. "Latent dependency mining for solving regression problems in computer vision." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8402.

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Regression-based frameworks, learning the direct mapping between low-level imagery features and vector/scalar-formed continuous labels, have been widely exploited in computer vision, e.g. in crowd counting, age estimation and human pose estimation. In the last decade, many efforts have been dedicated by researchers in computer vision for better regression fitting. Nevertheless, solving these computer vision problems with regression frameworks remained a formidable challenge due to 1) feature variation and 2) imbalance and sparse data. On one hand, large feature variation can be caused by the c
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8

Berrett, Candace. "Bayesian Probit Regression Models for Spatially-Dependent Categorical Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285076512.

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9

Mok, Kit Ying. "Central limit theorem for nonparametric regression under dependent data /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?MATH%202003%20MOK.

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10

El, Ghouch Anouar. "Nonparametric statistical inference for dependent censored data." Université catholique de Louvain, 2007. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-09262007-123927/.

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A frequent problem that appears in practical survival data analysis is censoring. A censored observation occurs when the observation of the event time (duration or survival time) may be prevented by the occurrence of an earlier competing event (censoring time). Censoring may be due to different causes. For example, the loss of some subjects under study, the end of the follow-up period, drop out or the termination of the study and the limitation in the sensitivity of a measurement instrument. The literature about censored data focuses on the i.i.d. case. However in many real applications the da
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11

Ryu, Duchwan. "Regression analysis with longitudinal measurements." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2398.

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Bayesian approaches to the regression analysis for longitudinal measurements are considered. The history of measurements from a subject may convey characteristics of the subject. Hence, in a regression analysis with longitudinal measurements, the characteristics of each subject can be served as covariates, in addition to possible other covariates. Also, the longitudinal measurements may lead to complicated covariance structures within each subject and they should be modeled properly. When covariates are some unobservable characteristics of each subject, Bayesian parametric and nonparametric re
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12

Shiferaw, Mamo Abel. "Regression with a Partially Censored Dependent Variable Under Simualtion Study." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-37532.

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13

Piccini, Jacopo. "Data Dependent Convergence Guarantees for Regression Problems in Neural Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24218/.

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It has been recently demonstrated that the artificial neural networks’ (ANN) learning under gradient descent method, can be studied using neural tangent kernel (NTK). This thesis’ goal is to show how techniques related to control theory, can be applied to model and improve the hyperparameters training dynamics. Moreover, it will be proven how by using methods from linear parameter varying (LPV) theory can allow the exact representation of the learning dynamics over its whole domain. The first part of the thesis is dedicated to the modelling and analysis of the system. The modelling of simple
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14

Tarr, Garth. "Quantile Based Estimation of Scale and Dependence." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/10590.

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QUANTILE BASED ESTIMATION OF SCALE AND DEPENDENCE Garth Tarr Abstract The sample quantile has a long history in statistics. The aim of this thesis is to explore some further applications of quantiles as simple, convenient and robust alternatives to classical procedures. Chapter 1 addresses the need for reliable confidence intervals for quantile regression coefficients particularly in small samples. We demonstrate the competitive performance of the xy-pair quantile bootstrap approach in a broad range of model designs with a focus on small and moderate sample sizes. Chapter 2 forms the core of t
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Aw, Ee Ling Grace. "Modeling dependency: application to currency." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/392.

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The primary purpose of this dissertation is to investigate the behavior of the elements of the foreign exchange market, the largest financial market in the world. Whilst the market itself is not new, the concept of currency as an alternative asset, is. Apart from growing awareness of the attractiveness of foreign exchange as an asset class, the recent huge growth in foreign investing combined with record high levels of currency volatility raised the importance and immediacy of foreign exchange risk. This dissertation applies several copulas to model the dependency between a chosen currency pai
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Thawornkaiwong, Supachoke. "Statistical inference on linear and partly linear regression with spatial dependence : parametric and nonparametric approaches." Thesis, London School of Economics and Political Science (University of London), 2012. http://etheses.lse.ac.uk/620/.

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The typical assumption made in regression analysis with cross-sectional data is that of independent observations. However, this assumption can be questionable in some economic applications where spatial dependence of observations may arise, for example, from local shocks in an economy, interaction among economic agents and spillovers. The main focus of this thesis is on regression models under three di§erent models of spatial dependence. First, a multivariate linear regression model with the disturbances following the Spatial Autoregressive process is considered. It is shown that the Gaussian
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17

Triebsch, Lea Kartika. "New integer-valued autoregressive and regression models with state-dependent parameters." München Verl. Dr. Hut, 2008. http://d-nb.info/992163277/04.

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18

Bossoli, Davide. "Extensions of marginal quantile regression to the analysis of dependent data." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3422768.

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Dependent data arise frequently in applied research. When quantile regression is the statistical method of choice, several approaches have been proposed that can accommodate dependence among observations. Cluster bootstrap is one of the most popular among them. While practical, this method is generally inefficient and computationally demanding, especially when the number of clusters is large. When the primary interest is on marginal quantiles, estimating equations have been proposed that model the association between the sign of the regression residuals with the Pearson's correlation c
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19

Bentoumi, Rachid. "Measure of Dependence for Length-Biased Survival Data." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35748.

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In epidemiological studies, subjects with disease (prevalent cases) differ from newly diseased (incident cases). They tend to survive longer due to sampling bias, and related covariates will also be biased. Methods for regression analyses have recently been proposed to measure the potential effects of covariates on survival. The goal is to extend the dependence measure of Kent (1983), based on the information gain, in the context of length-biased sampling. In this regard, to estimate information gain and dependence measure for length-biased data, we propose two different methods namely ke
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20

O, Dohonova K., and Bortnik Y. V. "Construction of dependence function of annual passenger flow and GPD per capita." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50700.

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1. Higher Mathematics: manual. Theory of Probability and Elements of Mathematical Statistics / V.P. Denisiuk, V.M. Bobkov, L.A. Grishina – K.: NAU, 2013. 210-216 pages. 2. Пасажиропотік аеропортів України [Electronic source] - https://www.wikiwand.com/uk/Пасажиропотік_аеропортів_України/Загальний_пасажиропотік_аеропортів_України. 3. Валовой внутренний продукт (ВВП) в Украине 2021[Electronic source] -https://index.minfin.com.ua/economy/gdp/<br>In many problems of physics, economics, medicine, engineering, etc. we have to experimentally study the dependence of a random variable Y, observed, on
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21

Jeenanunta, Chawalit. "The Approach-dependent, Time-dependent, Label-constrained Shortest Path Problem and Enhancements for the CART Algorithm with Application to Transportation Systems." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27773.

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In this dissertation, we consider two important problems pertaining to the analysis of transportation systems. The first of these is an approach-dependent, time-dependent, label-constrained shortest path problem that arises in the context of the Route Planner Module of the Transportation Analysis Simulation System (TRANSIMS), which has been developed by the Los Alamos National Laboratory for the Federal Highway Administration. This is a variant of the shortest path problem defined on a transportation network comprised of a set of nodes and a set of directed arcs such that each arc has an assoc
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22

McGhee, Jay D. "Non-Linear Density Dependence in a Stochastic Wild Turkey Harvest Model." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/26164.

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Current eastern wild turkey (<I>Meleagris gallopavo silvestris</I>) harvest models assume density-independent population dynamics despite indications that populations are subject to a form of density dependence. I suggest that both density-dependent and independent factors operate simultaneously on wild turkey populations, where the relative strength of each is governed by population density. I attempt to estimate the form of the density dependence relationship in wild turkey population growth using the theta-Ricker model. Density-independent relationships are explored between production a
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23

French, Benjamin. "Analysis of aggregate longitudinal data with time-dependent exposure /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/9569.

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24

Price, Lorraine. "Back to the beginning : an exploration of the treatment and effects of therapeutic regression to dependence in psychotherapeutic practice." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/10510.

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This research builds upon and explores an enigmatic set of experiences which theorists in the Object Relations tradition have characterised as regression to dependence, a return to a primitive, pre-verbal relational process presenting in some clients in psychotherapy. This research is a study of the concept of regression to dependence, its manifestation within the psychotherapy process, and facilitation within the therapeutic relationship. The Psychoanalytic theoretical positions on regression to dependence are explored, together with the Relational/Developmental perspective which recognises r
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25

Wesley, Gordon Brian. "Multiple Regression Analysis of Factors Concerning Cardiovascular Profitability Under Health Care Reform." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1468.

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Cardiovascular (CV) patients receive one-third of the care and account for $444 billion of the health care costs in the United States. The cardiovascular service line (CVSL) in hospitals contributes to the profitability influenced by elements of resource dependence theory (RDT). The purpose of this study was to understand whether the regression model of hospital characteristics and outcomes would predict profitability in a CVSL through the cost-to-charge ratio (CCR). The use of a general linear model and multiple regression analysis to examine the 2012 National Inpatient Sample from the Health
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26

Chatterjee, Nilanjan. "Semiparametric inference based on estimating equations in regression models for two phase outcome dependent sampling /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/8959.

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27

Mo, Zheng. "An Empirical Evaluation of OLS Hedonic Pricing Regression on Singapore Private Housing Market." Thesis, KTH, Byggvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150401.

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The empirical paper studies the relationship between property value and hedonic attributes. To indentify the determinant characteristics the influent the private real estate price, their degrees of significance and help with the valuation procedure, 8870 private residential property transactions with caveats lodged across country are selected from Urban Redevelopment Authority of Singapore. 40 models are tested and RMSE, R-Square, Adjusted R-Square, F-Value tests are performed to discover the overall fitness of the models. Breusch-Pagan F-Test is performed to test the existence of heteroskedas
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28

Karlsson, Andreas. "Estimation and Inference for Quantile Regression of Longitudinal Data : With Applications in Biostatistics." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7186.

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29

Wishart, Justin Rory. "Nonparametric estimation of change-points in derivatives." Thesis, The University of Sydney, 2011. http://hdl.handle.net/2123/8754.

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In this thesis, the main concern is to analyse change-points in a non-parametric regression model. More specifically, the analysis is focussed on the estimation of the location of jumps in the first derivative of the regression function. These change-points will be referred to as kinks. The estimation method is closely based on the zero-crossing technique (ZCT) introduced by Goldenshluger, Tsybakov and Zeevi (2006). The work of Goldenshluger et al. (2006) was aimed at estimating jumps in the regression function in the indirect non-parametric regression model and shown to be optimal in the min
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Shain, Cory Adam. "Language, time, and the mind: Understanding human language processing using continuous-time deconvolutional regression." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619002281033782.

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31

Wasserman, Olle, Hylén Olle Andersson, and Mihret Brdar. "Jämställdhet i bolagsstyrelser : En kvantitativ studie av jämställda bolagsstyrelsers koppling till finansiell prestation." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-86041.

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Background: The debate on gender equality is a topical subject in Sweden as well as the rest of the world. A gender quota law was proposed for Swedish listed companies but was outvoted. Is there a connection between gender equal companies and financial performance? Purpose: The main purpose of this study aims to investigate if companies with gender equal boards financially outperforms companies who does not have a gender equal board. Method: The thesis is based on a quantitative method along with a deductive approach in order to collect secondary data. Multiple regression analysis was performe
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Xie, Guangrui. "Robust and Data-Efficient Metamodel-Based Approaches for Online Analysis of Time-Dependent Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98806.

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Metamodeling is regarded as a powerful analysis tool to learn the input-output relationship of a system based on a limited amount of data collected when experiments with real systems are costly or impractical. As a popular metamodeling method, Gaussian process regression (GPR), has been successfully applied to analyses of various engineering systems. However, GPR-based metamodeling for time-dependent systems (TDSs) is especially challenging due to three reasons. First, TDSs require an appropriate account for temporal effects, however, standard GPR cannot address temporal effects easily and sat
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Tillich, Daniel. "Generalized Modeling and Estimation of Rating Classes and Default Probabilities Considering Dependencies in Cross and Longitudinal Section." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-222601.

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Our sample (Xit; Yit) consists of pairs of variables. The real variable Xit measures the creditworthiness of individual i in period t. The Bernoulli variable Yit is the default indicator of individual i in period t. The objective is to estimate a credit rating system, i.e. to particularly divide the range of the creditworthiness into several rating classes, each with a homogeneous default risk. The field of change point analysis provides a way to estimate the breakpoints between the rating classes. As yet, the literature only considers models without dependencies or with dependence only in cro
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SANTOS, WILSON N. dos. "Contribuicao ao estudo da condutividade termica do material ceramico concreto refratario utilizando a tecnica de fio quente com ajustes por regressao nao linear." reponame:Repositório Institucional do IPEN, 1988. http://repositorio.ipen.br:8080/xmlui/handle/123456789/9901.

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Made available in DSpace on 2014-10-09T12:32:39Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:08:47Z (GMT). No. of bitstreams: 1 01638.pdf: 3040773 bytes, checksum: f18467d3dc509496522489a5bcf98007 (MD5)<br>Tese (Doutoramento)<br>IPEN/T<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Bugana, Marco. "Mathematical Modeling to Investigate Antiarrhythmic Drug Side Effects: Rate-Dependence Role in Ionic Currents and Action Potentials Shape in the O’Hara Model." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3529/.

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Sudden cardiac death due to ventricular arrhythmia is one of the leading causes of mortality in the world. In the last decades, it has proven that anti-arrhythmic drugs, which prolong the refractory period by means of prolongation of the cardiac action potential duration (APD), play a good role in preventing of relevant human arrhythmias. However, it has long been observed that the “class III antiarrhythmic effect” diminish at faster heart rates and that this phenomenon represent a big weakness, since it is the precise situation when arrhythmias are most prone to occur. It is well known that
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Su, Weizhe. "Bayesian Hidden Markov Model in Multiple Testing on Dependent Count Data." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613751403094066.

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Tillich, Daniel, and Christoph Lehmann. "Estimation in discontinuous Bernoulli mixture models applicable in credit rating systems with dependent data." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-222582.

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Objective: We consider the following problem from credit risk modeling: Our sample (Xi; Yi), 1 < i < n, consists of pairs of variables. The first variable Xi measures the creditworthiness of individual i. The second variable Yi is the default indicator of individual i. It has two states: Yi = 1 indicates a default, Yi = 0 a non-default. A default occurs, if individual i cannot meet its contractual credit obligations, i. e. it cannot pay back its outstandings regularly. In afirst step, our objective is to estimate the threshold between good and bad creditworthiness in the sense of dividing th
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Althubaiti, Alaa Mohammed A. "Dependent Berkson errors in linear and nonlinear models." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/dependent-berkson-errors-in-linear-and-nonlinear-models(d56c5e58-bf97-4b47-b8ce-588f970dc45f).html.

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Often predictor variables in regression models are measured with errors. This is known as an errors-in-variables (EIV) problem. The statistical analysis of the data ignoring the EIV is called naive analysis. As a result, the variance of the errors is underestimated. This affects any statistical inference that may subsequently be made about the model parameter estimates or the response prediction. In some cases (e.g. quadratic polynomial models) the parameter estimates and the model prediction is biased. The errors can occur in different ways. These errors are mainly classified into classical (
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Liu, Yang. "Analysis of Dependently Truncated Sample Using Inverse Probability Weighted Estimator." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/110.

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Many statistical methods for truncated data rely on the assumption that the failure and truncation time are independent, which can be unrealistic in applications. The study cohorts obtained from bone marrow transplant (BMT) registry data are commonly recognized as truncated samples, the time-to-failure is truncated by the transplant time. There are clinical evidences that a longer transplant waiting time is a worse prognosis of survivorship. Therefore, it is reasonable to assume the dependence between transplant and failure time. To better analyze BMT registry data, we utilize a Cox analysis i
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40

Jonsson, Christoffer. "Statistical analysis of winddata regarding long-term correction." Thesis, Uppsala University, LUVAL, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121037.

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<p>The procedure of determining if a site is suitable for wind power production requiresconvincing statistical data describing the long-term behavior of the average wind speed.This can be achieved by measuring the wind speed for a short time period, e.g. a year,and after that a Measure-Correlate-Predict (MCP) method can be performed. The shorttermmeasured wind data must be used in combination with a long-term referenceseries. This long-term reference series can be global reanalysis data reaching 20 to 30years back in time. In a MCP method different regression methods can be used. Aftercreating
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Le, Canh Quang. "Three essays in spatial econometrics and labor economics." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1297.

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Schildcrout, Jonathan Scott. "Marginal modeling of longitudinal, binary response data : semiparametric and parametric estimation with long response series and an efficient outcome dependent sampling design /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/9540.

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Forslind, Fanni. "The Effect of Immigration on Income Distribution : A Comparative Study of Ordinary Least Squares and Beta Regression." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-433098.

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The purpose of this study is to estimate the relationship between income inequality and immigration in Sweden. To do so, data from the data base Kolada with observations from all 290 municipalities in Sweden is used. As a proxy for income distribution the Gini coefficient is used and as a proxy for immigration the share of foreign born of working age is used. The model also controls for income tax, education level and unemployment level. The dependent variable the Gini coefficient is bounded by a unit interval and it is therefore not possible to simply run a linear regression. Such a model cou
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Benz, Vilson. "Melhoria da precisão nas estimativas de produção em culturas olerícolas relacionado ao número de plantas e colheitas." Universidade Federal de Santa Maria, 2014. http://repositorio.ufsm.br/handle/1/3241.

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The variability in crop production oleraceous affects planning and the quality of experiments, inflating the experimental error, and leading to erroneous conclusions with low experimental precision and reliability. The objectives of this study were to scale the number of plants and crops necessary for there to be improving the precision of estimates of production in vegetable crops, test geostatistics and modeling tool and verify the spatial dependence of fruit production of vegetable crops. From the blank experiments production data, obtained from protected cultivation with crops of zucchini,
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45

Rahman, Dima. "The fragility of financial institutions : dependence structure, extremal behaviour and contagion." Thesis, Paris 10, 2011. http://www.theses.fr/2011PA100128.

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Cette thèse se propose d’analyser la structure et la dynamique de dépendance de crédit des institutions financières aux Etats-Unis et en Europe durant la crise financière de 2008. Un premier chapitre présente une revue de la littérature des modèles multi-dimensionnels de crédit et des modèles économétriques de contagion financière. Ce chapitre a pour vocation de guider notre réflexion à la fois conceptuelle et méthodologique sur les hypothèses analytiques de la contagion ainsi que ses méthodes de mesure. Nous montrons que si la contagion est devenue une hypothèse centrale des modèles multivari
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46

Li, Ji. "Cox Model Analysis with the Dependently Left Truncated Data." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/88.

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A truncated sample consists of realizations of a pair of random variables (L, T) subject to the constraint that L ≤T. The major study interest with a truncated sample is to find the marginal distributions of L and T. Many studies have been done with the assumption that L and T are independent. We introduce a new way to specify a Cox model for a truncated sample, assuming that the truncation time is a predictor of T, and this causes the dependence between L and T. We develop an algorithm to obtain the adjusted risk sets and use the Kaplan-Meier estimator to estimate the Marginal distribution of
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47

Slaviero, Amanda Riccioppo. "O ambiente de acolhimento primário e sua influência na clínica do trauma." Pontifícia Universidade Católica de São Paulo, 2017. https://tede2.pucsp.br/handle/handle/20495.

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Submitted by Filipe dos Santos (fsantos@pucsp.br) on 2017-10-09T12:17:11Z No. of bitstreams: 1 Amanda Riccioppo Slaviero.pdf: 891232 bytes, checksum: 54b6b68e96a4f6b5450f064118965d99 (MD5)<br>Made available in DSpace on 2017-10-09T12:17:11Z (GMT). No. of bitstreams: 1 Amanda Riccioppo Slaviero.pdf: 891232 bytes, checksum: 54b6b68e96a4f6b5450f064118965d99 (MD5) Previous issue date: 2017-09-29<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Pontifícia Universidade Católica de São Paulo - PUCSP<br>The present work derived from the care of three patients who have co
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48

BERNASCONI, DAVIDE PAOLO. "Dynamic prediction in survival analysis with binary non-reversible time-dependent treatment indicator." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/76772.

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Negli studi clinici spesso è di interesse confrontare la sopravvivenza di pazienti appartenenti a due o più gruppi di trattamento. In alcune situazioni, la classificazione non è effettuata all’inizio del follow-up ma cambia nel tempo. Ad esempio, tutti i pazienti sono sottoposti ad un trattamento iniziale ed alcuni lo continuano mentre altri cambiano dopo un certo periodo di tempo. In questo caso il trattamento è rappresentato da una variabile binaria tempo-dipendente. Un contesto tipico è il confronto tra chemioterapia e trapianto di cellule staminali nella Leucemia Linfoblastica Acuta. In qu
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49

Cardamone, Salvatore. "An interacting quantum atoms approach to constructing a conformationally dependent biomolecular force field by Gaussian process regression : potential energy surface sampling and validation." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/an-interacting-quantum-atoms-approach-to-constructing-a-conformationally-dependent-biomolecular-force-field-by-gaussian-process-regression-potential-energy-surface-sampling-and-validation(508ed450-9033-4bc9-8522-690d5a7909eb).html.

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The energetics of chemical systems are quantum mechanical in origin and dependent upon the internal molecular conformational degrees of freedom. "Classical force field" strategies are inadequate approximations to these energetics owing to a plethora of simplifications- both conceptual and mathematical. These simplifications have been employed to make the in silico modelling of molecular systems computationally tractable, but are also subject to both qualitative and quantitative errors. In spite of these shortcomings, classical force fields have become entrenched as a cornerstone of computation
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50

Singh, Abhay Kumar. "Modelling Extreme Market Risk - A Study of Tail Related Risk Measures." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2011. https://ro.ecu.edu.au/theses/417.

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Market risk modelling is one of the most dynamic domains in finance. Risk is the uncertainty that affects the values of assets in the system in an unknown fashion causing fluctuations in their values and in investment outcomes. Market risk is defined as the losses due to fluctuations in the prices of financial assets which are caused by changing market conditions. Market risk modelling comprises tools and techniques which quantify the risk associated with financial instruments. Risk quantification is necessary to devise strategies such as hedging or diversification against the risk, to avoid s
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